Job SummaryThe AI Architect will lead the design and delivery of enterprise-scale AI solutions on Google Cloud Platform (GCP). This role focuses on Generative AI, Agentic AI, and classical Machine Learning/Deep Learning, enabling secure, scalable, and high-performance AI platforms using Python and Java technologies.
Key Responsibilities- Lead end-to-end AI architecture for enterprise products on Google Cloud Platform (GCP).
- Architect solutions across Generative AI (GenAI), Agentic AI, classical ML/DL, and scalable microservices.
- Define reference architectures and manage the model and pipeline lifecycle.
- Guide engineering teams across Python and Java stacks to industrialize:
- Large Language Models (LLMs)
- LangGraph / LangChain agent workflows
- Secure and reliable AI platforms
- Design and implement GenAI and Agentic AI solutions, including:
- LLM selection and optimization
- Prompt engineering strategies
- Tool usage and grounding techniques
- Build LangGraph or LangChain agent workflows for multi-step planning, orchestration, and safe execution.
- Develop ML/DL solutions including:
- Supervised and unsupervised learning
- NLP use cases
- Vector search, embeddings, and RAG pipelines
- Model evaluation using TensorFlow and PyTorch
- Architect and deploy solutions using GCP services, including:
- Vertex AI (training, endpoints, evaluation)
- BigQuery
- Dataflow / Apache Beam
- Pub/Sub
- Cloud Storage
- IAM, KMS, and networking
- Develop production-grade applications using:
- Python (frameworks, packaging, testing)
- Java (Spring Boot) for model APIs and microservices
- Apply best practices for performance, scalability, and reliability.
- Establish and manage MLOps and LLMOps, including:
- Model versioning and registries
- CI/CD pipelines
- Feature stores and vector databases
- Monitoring, telemetry, and alerting
- Quality gates, red-teaming, and risk evaluation
- Collaborate with offshore and cross-functional teams to deliver AI/ML solutions at scale.
- Ensure security, governance, and compliance, including:
- PII / PHI protection
- Encryption in transit and at rest
- Data retention policies
- Audit readiness and governance standards
Required Skills & Experience- Strong experience in Generative AI and Agentic AI architectures
- Hands-on expertise with LLMs, LangGraph, LangChain
- Strong background in Machine Learning and Deep Learning
- Proficiency in Python
- Experience with Java (Spring Boot) for API and service development
- Extensive experience with Google Cloud Platform (GCP) and Vertex AI
- Strong understanding of MLOps and LLMOps practices
- Experience designing secure, enterprise-grade AI platforms
Competencies- Digital : Python
- Digital : Google Cloud Platform
- Digital : AI & Generative AI - Products & Tools
- Core : Java
Preferred Skills- Experience with agentic workflows and multi-agent architectures
- Strong understanding of enterprise governance, compliance, and risk management
- Experience leading architecture and mentoring engineering teams
